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Скачать или смотреть How to Enable Live Reload on Docker-Compose for Airflow

  • vlogize
  • 2025-04-08
  • 2
How to Enable Live Reload on Docker-Compose for Airflow
Hot to enable live reload on docker-compose for Airflow?dockerdocker composeairflow
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Описание к видео How to Enable Live Reload on Docker-Compose for Airflow

Learn how to set up `live reload` for your Docker-Compose Airflow application efficiently. Enhance your development experience by configuring your Airflow services to reflect changes instantly!
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This video is based on the question https://stackoverflow.com/q/72897170/ asked by the user 'kkpalczewski' ( https://stackoverflow.com/u/11914526/ ) and on the answer https://stackoverflow.com/a/72898128/ provided by the user 'ozs' ( https://stackoverflow.com/u/14719161/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Hot to enable live reload on docker-compose for Airflow?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Enable Live Reload on Docker-Compose for Airflow

When working with Apache Airflow in a Docker environment, one common question that arises is: How can you enable live reload for the scheduler service? Live reloading is essential for developers who want to see their code changes reflected instantly without the need for constant restarts, especially during the development phase. In this post, we'll delve into the steps to enable live reload within a Docker-Compose setup for Airflow.

Understanding the Problem

When you are developing an Airflow application using a Docker-Compose setup, it might be cumbersome to wait for changes to be reflected in your DAGs (Directed Acyclic Graphs). This is largely due to the default configurations in the airflow.cfg file, which determine how often the system checks for updates to DAG files.

Solution Overview

To enable live reload in your Docker-Compose Airflow setup, you'll need to adjust a few key parameters in the airflow.cfg file. Here’s a breakdown of the crucial settings and their implications:

Key Configuration Parameters

min_file_process_interval:

Description: This parameter defines the number of seconds after which a DAG file is parsed. Changes to your DAG files are processed only after this interval.

Default Setting: min_file_process_interval = 30

Recommendation: Keeping this number low allows for faster updates but may increase CPU usage. Consider setting it to a lower value like 10 seconds for more responsive development.

deactivate_stale_dags_interval:

Description: This indicates how often, in seconds, the system checks for stale DAGs that are no longer present and should be deactivated.

Default Setting: deactivate_stale_dags_interval = 60

Recommendation: This can generally be kept as is, but is vital for ensuring that outdated DAGs don't linger in your system.

dag_dir_list_interval:

Description: This parameter controls how often the system scans the DAGs directory for new files. The default is set to 5 minutes, which can be quite long during development.

Default Setting: dag_dir_list_interval = 300

Recommendation: Decrease this interval to 60 seconds to enable faster detection of new or modified DAG files.

Steps to Enable Live Reload

Access your airflow.cfg file: Typically located within your Airflow installation directory, ensure you can edit this file.

Modify the necessary parameters: Update the values as described above to lower intervals that will accommodate a smoother development workflow.

Restart the Airflow services: Use Docker commands to restart your Airflow services to ensure the configurations take effect. This can often be done using:

[[See Video to Reveal this Text or Code Snippet]]

Test the live reload: Make a change to one of your DAG files and check if the update gets picked up within the set intervals.

Conclusion

By carefully adjusting the key parameters in your airflow.cfg file, you can enable live reload for your Docker-Compose setup in Airflow effectively. This enhancement greatly improves your development workflow by allowing for immediate feedback on changes made to your DAGs, streamlining your testing and deployment processes. Happy coding!

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